Overview

Dataset statistics

Number of variables	48
Number of observations	2795
Missing cells	43145
Missing cells (%)	32.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	3.4 MiB
Average record size in memory	1.3 KiB

Variable types

Numeric	18
DateTime	3
Text	5
Categorical	19
Boolean	3

Alerts

`Emergency Responder Injuries` has constant value "0.0"	Constant
`Other Injuries` has constant value "0.0"	Constant
`Operator Employee Fatalities` has constant value "0.0"	Constant
`Emergency Responder Fatalities` has constant value "0.0"	Constant
`Accident Latitude` is highly overall correlated with `Accident State` and 1 other fields	High correlation
`Accident Longitude` is highly overall correlated with `Accident State` and 8 other fields	High correlation
`Accident State` is highly overall correlated with `Accident Latitude` and 4 other fields	High correlation
`Accident Year` is highly overall correlated with `Operator Employee Injuries` and 3 other fields	High correlation
`All Costs` is highly overall correlated with `All Fatalities` and 11 other fields	High correlation
`All Fatalities` is highly overall correlated with `Accident Longitude` and 14 other fields	High correlation
`All Injuries` is highly overall correlated with `Accident Longitude` and 16 other fields	High correlation
`Cause Category` is highly overall correlated with `Cause Subcategory` and 1 other fields	High correlation
`Cause Subcategory` is highly overall correlated with `Cause Category` and 2 other fields	High correlation
`Emergency Response Costs` is highly overall correlated with `All Costs` and 8 other fields	High correlation
`Environmental Remediation Costs` is highly overall correlated with `All Costs` and 9 other fields	High correlation
`Intentional Release (Barrels)` is highly overall correlated with `All Fatalities` and 7 other fields	High correlation
`Liquid Recovery (Barrels)` is highly overall correlated with `All Fatalities` and 8 other fields	High correlation
`Liquid Subtype` is highly overall correlated with `All Costs` and 5 other fields	High correlation
`Liquid Type` is highly overall correlated with `All Fatalities` and 2 other fields	High correlation
`Lost Commodity Costs` is highly overall correlated with `All Injuries` and 5 other fields	High correlation
`Net Loss (Barrels)` is highly overall correlated with `Other Fatalities`	High correlation
`Operator Contractor Fatalities` is highly overall correlated with `Accident Longitude` and 12 other fields	High correlation
`Operator Contractor Injuries` is highly overall correlated with `Accident Longitude` and 15 other fields	High correlation
`Operator Employee Injuries` is highly overall correlated with `Accident Longitude` and 13 other fields	High correlation
`Other Costs` is highly overall correlated with `All Fatalities` and 7 other fields	High correlation
`Other Fatalities` is highly overall correlated with `Accident Longitude` and 20 other fields	High correlation
`Pipeline Location` is highly overall correlated with `All Fatalities` and 9 other fields	High correlation
`Pipeline Shutdown` is highly overall correlated with `Operator Contractor Injuries`	High correlation
`Pipeline Type` is highly overall correlated with `Pipeline Location`	High correlation
`Property Damage Costs` is highly overall correlated with `All Costs` and 4 other fields	High correlation
`Public Evacuations` is highly overall correlated with `All Fatalities` and 7 other fields	High correlation
`Public Fatalities` is highly overall correlated with `Accident Latitude` and 13 other fields	High correlation
`Public Injuries` is highly overall correlated with `Accident Longitude` and 16 other fields	High correlation
`Public/Private Property Damage Costs` is highly overall correlated with `All Fatalities` and 8 other fields	High correlation
`Report Number` is highly overall correlated with `Accident Year` and 2 other fields	High correlation
`Supplemental Number` is highly overall correlated with `Accident Year` and 1 other fields	High correlation
`Unintentional Release (Barrels)` is highly overall correlated with `Liquid Recovery (Barrels)` and 2 other fields	High correlation
`Pipeline Location` is highly imbalanced (94.4%)	Imbalance
`Liquid Ignition` is highly imbalanced (78.6%)	Imbalance
`Liquid Explosion` is highly imbalanced (95.2%)	Imbalance
`Pipeline/Facility Name` has 121 (4.3%) missing values	Missing
`Liquid Subtype` has 1446 (51.7%) missing values	Missing
`Liquid Name` has 2573 (92.1%) missing values	Missing
`Accident City` has 315 (11.3%) missing values	Missing
`Accident County` has 75 (2.7%) missing values	Missing
`Intentional Release (Barrels)` has 1586 (56.7%) missing values	Missing
`Pipeline Shutdown` has 212 (7.6%) missing values	Missing
`Shutdown Date/Time` has 1405 (50.3%) missing values	Missing
`Restart Date/Time` has 1454 (52.0%) missing values	Missing
`Public Evacuations` has 457 (16.4%) missing values	Missing
`Operator Employee Injuries` has 2783 (99.6%) missing values	Missing
`Operator Contractor Injuries` has 2783 (99.6%) missing values	Missing
`Emergency Responder Injuries` has 2783 (99.6%) missing values	Missing
`Other Injuries` has 2783 (99.6%) missing values	Missing
`Public Injuries` has 2783 (99.6%) missing values	Missing
`All Injuries` has 2783 (99.6%) missing values	Missing
`Operator Employee Fatalities` has 2787 (99.7%) missing values	Missing
`Operator Contractor Fatalities` has 2787 (99.7%) missing values	Missing
`Emergency Responder Fatalities` has 2787 (99.7%) missing values	Missing
`Other Fatalities` has 2787 (99.7%) missing values	Missing
`Public Fatalities` has 2787 (99.7%) missing values	Missing
`All Fatalities` has 2787 (99.7%) missing values	Missing
`Public Evacuations` is highly skewed (γ1 = 32.23809129)	Skewed
`Property Damage Costs` is highly skewed (γ1 = 21.92821158)	Skewed
`Public/Private Property Damage Costs` is highly skewed (γ1 = 35.94608265)	Skewed
`Emergency Response Costs` is highly skewed (γ1 = 28.4186065)	Skewed
`Environmental Remediation Costs` is highly skewed (γ1 = 52.23717109)	Skewed
`Other Costs` is highly skewed (γ1 = 29.87226224)	Skewed
`All Costs` is highly skewed (γ1 = 47.05731007)	Skewed
`Report Number` has unique values	Unique
`Supplemental Number` has unique values	Unique
`Unintentional Release (Barrels)` has 30 (1.1%) zeros	Zeros
`Intentional Release (Barrels)` has 1049 (37.5%) zeros	Zeros
`Liquid Recovery (Barrels)` has 738 (26.4%) zeros	Zeros
`Net Loss (Barrels)` has 1489 (53.3%) zeros	Zeros
`Public Evacuations` has 2285 (81.8%) zeros	Zeros
`Property Damage Costs` has 539 (19.3%) zeros	Zeros
`Lost Commodity Costs` has 466 (16.7%) zeros	Zeros
`Public/Private Property Damage Costs` has 2527 (90.4%) zeros	Zeros
`Emergency Response Costs` has 809 (28.9%) zeros	Zeros
`Environmental Remediation Costs` has 1240 (44.4%) zeros	Zeros
`Other Costs` has 2465 (88.2%) zeros	Zeros
`All Costs` has 34 (1.2%) zeros	Zeros

Reproduction

Analysis started	2026-01-19 18:32:55.858504
Analysis finished	2026-01-19 18:33:17.753626
Duration	21.9 seconds
Software version	ydata-profiling v4.18.0
Download configuration	config.json

Report Number
Real number (ℝ)

High correlation Unique

Distinct	2795
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	20132931

Minimum	20100001
Maximum	20170028
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	20100001
5-th percentile	20100146
Q1	20120036
median	20130374
Q3	20150228
95-th percentile	20160319
Maximum	20170028
Range	70027
Interquartile range (IQR)	30191

Descriptive statistics

Standard deviation	19820.979
Coefficient of variation (CV)	0.00098450539
Kurtosis	-1.1579889
Mean	20132931
Median Absolute Deviation (MAD)	19820
Skewness	-0.14470119
Sum	5.6271543 × 10¹⁰
Variance	3.9287122 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
20170025	1	< 0.1%
20100016	1	< 0.1%
20100254	1	< 0.1%
20100038	1	< 0.1%
20100260	1	< 0.1%
20100030	1	< 0.1%
20100021	1	< 0.1%
20110036	1	< 0.1%
20100255	1	< 0.1%
20100261	1	< 0.1%
Other values (2785)	2785	99.6%

Value	Count	Frequency (%)
20100001	1	< 0.1%
20100002	1	< 0.1%
20100003	1	< 0.1%
20100004	1	< 0.1%
20100005	1	< 0.1%
20100006	1	< 0.1%
20100007	1	< 0.1%
20100008	1	< 0.1%
20100009	1	< 0.1%
20100010	1	< 0.1%

Value	Count	Frequency (%)
20170028	1	< 0.1%
20170027	1	< 0.1%
20170026	1	< 0.1%
20170025	1	< 0.1%
20170024	1	< 0.1%
20170023	1	< 0.1%
20170022	1	< 0.1%
20170021	1	< 0.1%
20170020	1	< 0.1%
20170019	1	< 0.1%

Supplemental Number
Real number (ℝ)

High correlation Unique

Distinct	2795
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	19433.319

Minimum	15072
Maximum	22049
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	15072
5-th percentile	16518
Q1	17978.5
median	19502
Q3	20996.5
95-th percentile	21885.6
Maximum	22049
Range	6977
Interquartile range (IQR)	3018

Descriptive statistics

Standard deviation	1724.8154
Coefficient of variation (CV)	0.088755571
Kurtosis	-0.90266904
Mean	19433.319
Median Absolute Deviation (MAD)	1511
Skewness	-0.25080502
Sum	54316128
Variance	2974988.1
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
22040	1	< 0.1%
17305	1	< 0.1%
17331	1	< 0.1%
17747	1	< 0.1%
18574	1	< 0.1%
16276	1	< 0.1%
17161	1	< 0.1%
18052	1	< 0.1%
18584	1	< 0.1%
18050	1	< 0.1%
Other values (2785)	2785	99.6%

Value	Count	Frequency (%)
15072	1	< 0.1%
15114	1	< 0.1%
15120	1	< 0.1%
15127	1	< 0.1%
15130	1	< 0.1%
15132	1	< 0.1%
15146	1	< 0.1%
15162	1	< 0.1%
15197	1	< 0.1%
15205	1	< 0.1%

Value	Count	Frequency (%)
22049	1	< 0.1%
22048	1	< 0.1%
22046	1	< 0.1%
22045	1	< 0.1%
22044	1	< 0.1%
22043	1	< 0.1%
22042	1	< 0.1%
22041	1	< 0.1%
22040	1	< 0.1%
22039	1	< 0.1%

Accident Year
Real number (ℝ)

High correlation

Distinct	8
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	2013.1878

Minimum	2010
Maximum	2017
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	2010
5-th percentile	2010
Q1	2012
median	2013
Q3	2015
95-th percentile	2016
Maximum	2017
Range	7
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.972102
Coefficient of variation (CV)	0.00097959165
Kurtosis	-1.1930679
Mean	2013.1878
Median Absolute Deviation (MAD)	2
Skewness	-0.15105802
Sum	5626860
Variance	3.8891863
Monotonicity	Increasing

Histogram with fixed size bins (bins=8)

Value	Count	Frequency (%)
2015	462	16.5%
2014	454	16.2%
2016	415	14.8%
2013	401	14.3%
2012	366	13.1%
2010	350	12.5%
2011	345	12.3%
2017	2	0.1%

Value	Count	Frequency (%)
2010	350	12.5%
2011	345	12.3%
2012	366	13.1%
2013	401	14.3%
2014	454	16.2%
2015	462	16.5%
2016	415	14.8%
2017	2	0.1%

Value	Count	Frequency (%)
2017	2	0.1%
2016	415	14.8%
2015	462	16.5%
2014	454	16.2%
2013	401	14.3%
2012	366	13.1%
2011	345	12.3%
2010	350	12.5%

Accident Date/Time
Date

Distinct	2777
Distinct (%)	99.4%
Missing	0
Missing (%)	0.0%
Memory size	22.0 KiB

Minimum	2010-01-01 07:15:00
Maximum	2017-01-09 07:40:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Operator ID
Real number (ℝ)

Distinct	213
Distinct (%)	7.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	21388.477

Minimum	300
Maximum	99043
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	300
5-th percentile	300
Q1	11169
median	26041
Q3	31618
95-th percentile	32537
Maximum	99043
Range	98743
Interquartile range (IQR)	20449

Descriptive statistics

Standard deviation	12430.973
Coefficient of variation (CV)	0.58119957
Kurtosis	0.82129321
Mean	21388.477
Median Absolute Deviation (MAD)	6106
Skewness	-0.18717547
Sum	59780792
Variance	1.545291 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
30829	201	7.2%
18718	180	6.4%
300	156	5.6%
31618	155	5.5%
22610	140	5.0%
2552	136	4.9%
1845	115	4.1%
31684	114	4.1%
32147	87	3.1%
26041	87	3.1%
Other values (203)	1424	50.9%

Value	Count	Frequency (%)
300	156	5.6%
395	3	0.1%
515	1	< 0.1%
879	1	< 0.1%
999	1	< 0.1%
1248	13	0.5%
1541	2	0.1%
1845	115	4.1%
1960	5	0.2%
2162	1	< 0.1%

Value	Count	Frequency (%)
99043	2	0.1%
99031	2	0.1%
39534	1	< 0.1%
39509	1	< 0.1%
39504	2	0.1%
39467	1	< 0.1%
39440	3	0.1%
39349	1	< 0.1%
39307	5	0.2%
39302	1	< 0.1%

Operator Name
Text

Distinct	229
Distinct (%)	8.2%
Missing	0
Missing (%)	0.0%
Memory size	203.7 KiB

Length

Max length	53
Median length	45
Mean length	25.587478
Min length	8

Characters and Unicode

Total characters	71517
Distinct characters	36
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	72 ?
Unique (%)	2.6%

Sample

1st row	ONEOK NGL PIPELINE LP
2nd row	PORTLAND PIPELINE CORP
3rd row	PETROLOGISTICS OLEFINS, LLC
4th row	ENBRIDGE ENERGY, LIMITED PARTNERSHIP
5th row	PLAINS PIPELINE, L.P.

Value	Count	Frequency (%)
pipeline	1637	15.7%
llc	924	8.9%
l.p	626	6.0%
co	519	5.0%
lp	387	3.7%
enterprise	358	3.4%
company	323	3.1%
operating	229	2.2%
crude	222	2.1%
magellan	207	2.0%
Other values (286)	4978	47.8%

Most occurring characters

Value	Count	Frequency (%)
E	8045	11.2%
	7640	10.7%
L	7104	9.9%
P	6990	9.8%
I	6693	9.4%
N	5653	7.9%
O	3625	5.1%
R	3586	5.0%
C	3347	4.7%
A	3014	4.2%
Other values (26)	15820	22.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	71517	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	8045	11.2%
	7640	10.7%
L	7104	9.9%
P	6990	9.8%
I	6693	9.4%
N	5653	7.9%
O	3625	5.1%
R	3586	5.0%
C	3347	4.7%
A	3014	4.2%
Other values (26)	15820	22.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	71517	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	8045	11.2%
	7640	10.7%
L	7104	9.9%
P	6990	9.8%
I	6693	9.4%
N	5653	7.9%
O	3625	5.1%
R	3586	5.0%
C	3347	4.7%
A	3014	4.2%
Other values (26)	15820	22.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	71517	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	8045	11.2%
	7640	10.7%
L	7104	9.9%
P	6990	9.8%
I	6693	9.4%
N	5653	7.9%
O	3625	5.1%
R	3586	5.0%
C	3347	4.7%
A	3014	4.2%
Other values (26)	15820	22.1%

Pipeline/Facility Name
Text

Missing

Distinct	1977
Distinct (%)	73.9%
Missing	121
Missing (%)	4.3%
Memory size	183.2 KiB

Length

Max length	50
Median length	42
Mean length	19.640613
Min length	2

Characters and Unicode

Total characters	52519
Distinct characters	51
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1651 ?
Unique (%)	61.7%

Sample

1st row	KINDER MORGAN JCT
2nd row	24-INCH MAIN LINE
3rd row	SUPERIOR TERMINAL
4th row	RED RIVER EAST
5th row	HULL STATION

Value	Count	Frequency (%)
station	928	11.5%
terminal	343	4.3%
to	237	2.9%
pump	215	2.7%
pipeline	207	2.6%
line	177	2.2%
tank	140	1.7%
farm	120	1.5%
	108	1.3%
city	87	1.1%
Other values (1834)	5496	68.2%

Most occurring characters

Value	Count	Frequency (%)
	5534	10.5%
T	4686	8.9%
N	4354	8.3%
A	4236	8.1%
E	4085	7.8%
I	3893	7.4%
O	3617	6.9%
S	2703	5.1%
L	2680	5.1%
R	2553	4.9%
Other values (41)	14178	27.0%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	52519	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	5534	10.5%
T	4686	8.9%
N	4354	8.3%
A	4236	8.1%
E	4085	7.8%
I	3893	7.4%
O	3617	6.9%
S	2703	5.1%
L	2680	5.1%
R	2553	4.9%
Other values (41)	14178	27.0%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	52519	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	5534	10.5%
T	4686	8.9%
N	4354	8.3%
A	4236	8.1%
E	4085	7.8%
I	3893	7.4%
O	3617	6.9%
S	2703	5.1%
L	2680	5.1%
R	2553	4.9%
Other values (41)	14178	27.0%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	52519	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	5534	10.5%
T	4686	8.9%
N	4354	8.3%
A	4236	8.1%
E	4085	7.8%
I	3893	7.4%
O	3617	6.9%
S	2703	5.1%
L	2680	5.1%
R	2553	4.9%
Other values (41)	14178	27.0%

Pipeline Location
Categorical

High correlation Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	153.0 KiB

ONSHORE	2777
OFFSHORE	18

Length

Max length	8
Median length	7
Mean length	7.0064401
Min length	7

Characters and Unicode

Total characters	19583
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ONSHORE
2nd row	ONSHORE
3rd row	ONSHORE
4th row	ONSHORE
5th row	ONSHORE

Common Values

Value	Count	Frequency (%)
ONSHORE	2777	99.4%
OFFSHORE	18	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
onshore	2777	99.4%
offshore	18	0.6%

Most occurring characters

Value	Count	Frequency (%)
O	5590	28.5%
S	2795	14.3%
H	2795	14.3%
E	2795	14.3%
R	2795	14.3%
N	2777	14.2%
F	36	0.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	19583	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
O	5590	28.5%
S	2795	14.3%
H	2795	14.3%
E	2795	14.3%
R	2795	14.3%
N	2777	14.2%
F	36	0.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	19583	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
O	5590	28.5%
S	2795	14.3%
H	2795	14.3%
E	2795	14.3%
R	2795	14.3%
N	2777	14.2%
F	36	0.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	19583	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
O	5590	28.5%
S	2795	14.3%
H	2795	14.3%
E	2795	14.3%
R	2795	14.3%
N	2777	14.2%
F	36	0.2%

Pipeline Type
Categorical

High correlation

Distinct	4
Distinct (%)	0.1%
Missing	18
Missing (%)	0.6%
Memory size	161.8 KiB

ABOVEGROUND	1475
UNDERGROUND	985
TANK	301
TRANSITION AREA	16

Length

Max length	15
Median length	11
Mean length	10.264314
Min length	4

Characters and Unicode

Total characters	28504
Distinct characters	15
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	ABOVEGROUND
2nd row	ABOVEGROUND
3rd row	ABOVEGROUND
4th row	UNDERGROUND
5th row	UNDERGROUND

Common Values

Value	Count	Frequency (%)
ABOVEGROUND	1475	52.8%
UNDERGROUND	985	35.2%
TANK	301	10.8%
TRANSITION AREA	16	0.6%
(Missing)	18	0.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
aboveground	1475	52.8%
underground	985	35.3%
tank	301	10.8%
transition	16	0.6%
area	16	0.6%

Most occurring characters

Value	Count	Frequency (%)
O	3951	13.9%
N	3778	13.3%
R	3477	12.2%
U	3445	12.1%
D	3445	12.1%
E	2476	8.7%
G	2460	8.6%
A	1824	6.4%
B	1475	5.2%
V	1475	5.2%
Other values (5)	698	2.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	28504	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
O	3951	13.9%
N	3778	13.3%
R	3477	12.2%
U	3445	12.1%
D	3445	12.1%
E	2476	8.7%
G	2460	8.6%
A	1824	6.4%
B	1475	5.2%
V	1475	5.2%
Other values (5)	698	2.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	28504	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
O	3951	13.9%
N	3778	13.3%
R	3477	12.2%
U	3445	12.1%
D	3445	12.1%
E	2476	8.7%
G	2460	8.6%
A	1824	6.4%
B	1475	5.2%
V	1475	5.2%
Other values (5)	698	2.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	28504	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
O	3951	13.9%
N	3778	13.3%
R	3477	12.2%
U	3445	12.1%
D	3445	12.1%
E	2476	8.7%
G	2460	8.6%
A	1824	6.4%
B	1475	5.2%
V	1475	5.2%
Other values (5)	698	2.4%

Liquid Type
Categorical

High correlation

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	210.0 KiB

CRUDE OIL	1398
REFINED AND/OR PETROLEUM PRODUCT (NON-HVL), LIQUID	939
HVL OR OTHER FLAMMABLE OR TOXIC FLUID, GAS	418
CO2 (CARBON DIOXIDE)	38
BIOFUEL / ALTERNATIVE FUEL(INCLUDING ETHANOL BLENDS)	2

Length

Max length	52
Median length	9
Mean length	27.889803
Min length	9

Characters and Unicode

Total characters	77952
Distinct characters	28
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	HVL OR OTHER FLAMMABLE OR TOXIC FLUID, GAS
2nd row	CRUDE OIL
3rd row	HVL OR OTHER FLAMMABLE OR TOXIC FLUID, GAS
4th row	CRUDE OIL
5th row	CRUDE OIL

Common Values

Value	Count	Frequency (%)
CRUDE OIL	1398	50.0%
REFINED AND/OR PETROLEUM PRODUCT (NON-HVL), LIQUID	939	33.6%
HVL OR OTHER FLAMMABLE OR TOXIC FLUID, GAS	418	15.0%
CO2 (CARBON DIOXIDE)	38	1.4%
BIOFUEL / ALTERNATIVE FUEL(INCLUDING ETHANOL BLENDS)	2	0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
crude	1398	11.7%
oil	1398	11.7%
refined	939	7.9%
and/or	939	7.9%
petroleum	939	7.9%
product	939	7.9%
non-hvl	939	7.9%
liquid	939	7.9%
or	836	7.0%
hvl	418	3.5%
Other values (14)	2216	18.6%

Most occurring characters

Value	Count	Frequency (%)
	9105	11.7%
O	6944	8.9%
R	6448	8.3%
E	6040	7.7%
L	5899	7.6%
D	5652	7.3%
I	5135	6.6%
U	4639	6.0%
N	3804	4.9%
C	2833	3.6%
Other values (18)	21453	27.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	77952	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
	9105	11.7%
O	6944	8.9%
R	6448	8.3%
E	6040	7.7%
L	5899	7.6%
D	5652	7.3%
I	5135	6.6%
U	4639	6.0%
N	3804	4.9%
C	2833	3.6%
Other values (18)	21453	27.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	77952	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
	9105	11.7%
O	6944	8.9%
R	6448	8.3%
E	6040	7.7%
L	5899	7.6%
D	5652	7.3%
I	5135	6.6%
U	4639	6.0%
N	3804	4.9%
C	2833	3.6%
Other values (18)	21453	27.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	77952	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
	9105	11.7%
O	6944	8.9%
R	6448	8.3%
E	6040	7.7%
L	5899	7.6%
D	5652	7.3%
I	5135	6.6%
U	4639	6.0%
N	3804	4.9%
C	2833	3.6%
Other values (18)	21453	27.5%

Liquid Subtype
Categorical

High correlation Missing

Distinct	8
Distinct (%)	0.6%
Missing	1446
Missing (%)	51.7%
Memory size	184.4 KiB

DIESEL, FUEL OIL, KEROSENE, JET FUEL	408
GASOLINE (NON-ETHANOL)	376
LPG (LIQUEFIED PETROLEUM GAS) / NGL (NATURAL GAS LIQUID)	188
OTHER HVL	171
MIXTURE OF REFINED PRODUCTS (TRANSMIX OR OTHER MIXTURE)	98
Other values (3)	108

Length

Max length	56
Median length	55
Mean length	30.85619
Min length	5

Characters and Unicode

Total characters	41625
Distinct characters	30
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	LPG (LIQUEFIED PETROLEUM GAS) / NGL (NATURAL GAS LIQUID)
2nd row	OTHER HVL
3rd row	GASOLINE (NON-ETHANOL)
4th row	LPG (LIQUEFIED PETROLEUM GAS) / NGL (NATURAL GAS LIQUID)
5th row	DIESEL, FUEL OIL, KEROSENE, JET FUEL

Common Values

Value	Count	Frequency (%)
DIESEL, FUEL OIL, KEROSENE, JET FUEL	408	14.6%
GASOLINE (NON-ETHANOL)	376	13.5%
LPG (LIQUEFIED PETROLEUM GAS) / NGL (NATURAL GAS LIQUID)	188	6.7%
OTHER HVL	171	6.1%
MIXTURE OF REFINED PRODUCTS (TRANSMIX OR OTHER MIXTURE)	98	3.5%
ANHYDROUS AMMONIA	55	2.0%
OTHER	51	1.8%
BIODIESEL	2	0.1%
(Missing)	1446	51.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
fuel	816	13.2%
diesel	408	6.6%
oil	408	6.6%
kerosene	408	6.6%
jet	408	6.6%
gasoline	376	6.1%
non-ethanol	376	6.1%
gas	376	6.1%
other	320	5.2%
mixture	196	3.2%
Other values (16)	2089	33.8%

Most occurring characters

Value	Count	Frequency (%)
E	5484	13.2%
	4832	11.6%
L	3685	8.9%
O	2858	6.9%
N	2594	6.2%
I	2395	5.8%
U	1917	4.6%
T	1872	4.5%
S	1821	4.4%
A	1767	4.2%
Other values (20)	12400	29.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	41625	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	5484	13.2%
	4832	11.6%
L	3685	8.9%
O	2858	6.9%
N	2594	6.2%
I	2395	5.8%
U	1917	4.6%
T	1872	4.5%
S	1821	4.4%
A	1767	4.2%
Other values (20)	12400	29.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	41625	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	5484	13.2%
	4832	11.6%
L	3685	8.9%
O	2858	6.9%
N	2594	6.2%
I	2395	5.8%
U	1917	4.6%
T	1872	4.5%
S	1821	4.4%
A	1767	4.2%
Other values (20)	12400	29.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	41625	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	5484	13.2%
	4832	11.6%
L	3685	8.9%
O	2858	6.9%
N	2594	6.2%
I	2395	5.8%
U	1917	4.6%
T	1872	4.5%
S	1821	4.4%
A	1767	4.2%
Other values (20)	12400	29.8%

Liquid Name
Text

Missing

Distinct	69
Distinct (%)	31.1%
Missing	2573
Missing (%)	92.1%
Memory size	93.6 KiB

Length

Max length	40
Median length	36
Mean length	11.418919
Min length	3

Characters and Unicode

Total characters	2535
Distinct characters	44
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	51 ?
Unique (%)	23.0%

Sample

1st row	ETHANE
2nd row	NORMAL BUTANE
3rd row	PROPYLENE
4th row	JET FUEL
5th row	RAW FEED

Value	Count	Frequency (%)
propane	34	9.4%
ethane	29	8.0%
propylene	28	7.7%
y-grade	24	6.6%
ethylene	17	4.7%
butane	17	4.7%
gasoline	15	4.1%
condensate	14	3.9%
natural	14	3.9%
mix	14	3.9%
Other values (80)	157	43.3%

Most occurring characters

Value	Count	Frequency (%)
E	394	15.5%
A	249	9.8%
N	244	9.6%
P	175	6.9%
R	157	6.2%
T	143	5.6%
	143	5.6%
O	141	5.6%
L	124	4.9%
Y	86	3.4%
Other values (34)	679	26.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	2535	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	394	15.5%
A	249	9.8%
N	244	9.6%
P	175	6.9%
R	157	6.2%
T	143	5.6%
	143	5.6%
O	141	5.6%
L	124	4.9%
Y	86	3.4%
Other values (34)	679	26.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	2535	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	394	15.5%
A	249	9.8%
N	244	9.6%
P	175	6.9%
R	157	6.2%
T	143	5.6%
	143	5.6%
O	141	5.6%
L	124	4.9%
Y	86	3.4%
Other values (34)	679	26.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	2535	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	394	15.5%
A	249	9.8%
N	244	9.6%
P	175	6.9%
R	157	6.2%
T	143	5.6%
	143	5.6%
O	141	5.6%
L	124	4.9%
Y	86	3.4%
Other values (34)	679	26.8%

Accident City
Text

Missing

Distinct	1027
Distinct (%)	41.4%
Missing	315
Missing (%)	11.3%
Memory size	148.7 KiB

Length

Max length	44
Median length	30
Mean length	8.2866935
Min length	3

Characters and Unicode

Total characters	20551
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	661 ?
Unique (%)	26.7%

Sample

1st row	MCPHERSON
2nd row	RAYMOND
3rd row	SULPHER
4th row	SUPERIOR
5th row	SHERMAN

Value	Count	Frequency (%)
city	92	3.0%
cushing	80	2.6%
pasadena	71	2.3%
houston	50	1.6%
midland	45	1.5%
port	42	1.4%
beaumont	36	1.2%
arthur	35	1.1%
texas	28	0.9%
park	27	0.9%
Other values (1024)	2597	83.7%

Most occurring characters

Value	Count	Frequency (%)
A	1955	9.5%
E	1927	9.4%
N	1693	8.2%
O	1625	7.9%
R	1420	6.9%
L	1314	6.4%
I	1235	6.0%
S	1168	5.7%
T	1148	5.6%
C	832	4.0%
Other values (31)	6234	30.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20551	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	1955	9.5%
E	1927	9.4%
N	1693	8.2%
O	1625	7.9%
R	1420	6.9%
L	1314	6.4%
I	1235	6.0%
S	1168	5.7%
T	1148	5.6%
C	832	4.0%
Other values (31)	6234	30.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20551	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	1955	9.5%
E	1927	9.4%
N	1693	8.2%
O	1625	7.9%
R	1420	6.9%
L	1314	6.4%
I	1235	6.0%
S	1168	5.7%
T	1148	5.6%
C	832	4.0%
Other values (31)	6234	30.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20551	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	1955	9.5%
E	1927	9.4%
N	1693	8.2%
O	1625	7.9%
R	1420	6.9%
L	1314	6.4%
I	1235	6.0%
S	1168	5.7%
T	1148	5.6%
C	832	4.0%
Other values (31)	6234	30.3%

Accident County
Text

Missing

Distinct	678
Distinct (%)	24.9%
Missing	75
Missing (%)	2.7%
Memory size	152.4 KiB

Length

Max length	29
Median length	24
Mean length	7.4580882
Min length	2

Characters and Unicode

Total characters	20286
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	346 ?
Unique (%)	12.7%

Sample

1st row	MCPHERSON
2nd row	CUMBERLAND
3rd row	CALCASIEU
4th row	DOUGLAS
5th row	GRAYSON

Value	Count	Frequency (%)
harris	170	5.4%
jefferson	113	3.6%
county	101	3.2%
angeles	57	1.8%
los	57	1.8%
payne	52	1.7%
midland	50	1.6%
middlesex	46	1.5%
kern	42	1.3%
st	41	1.3%
Other values (601)	2419	76.8%

Most occurring characters

Value	Count	Frequency (%)
A	2113	10.4%
E	2027	10.0%
N	1726	8.5%
R	1708	8.4%
O	1477	7.3%
S	1401	6.9%
L	1237	6.1%
I	1110	5.5%
T	886	4.4%
C	812	4.0%
Other values (31)	5789	28.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	20286	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
A	2113	10.4%
E	2027	10.0%
N	1726	8.5%
R	1708	8.4%
O	1477	7.3%
S	1401	6.9%
L	1237	6.1%
I	1110	5.5%
T	886	4.4%
C	812	4.0%
Other values (31)	5789	28.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	20286	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
A	2113	10.4%
E	2027	10.0%
N	1726	8.5%
R	1708	8.4%
O	1477	7.3%
S	1401	6.9%
L	1237	6.1%
I	1110	5.5%
T	886	4.4%
C	812	4.0%
Other values (31)	5789	28.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	20286	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
A	2113	10.4%
E	2027	10.0%
N	1726	8.5%
R	1708	8.4%
O	1477	7.3%
S	1401	6.9%
L	1237	6.1%
I	1110	5.5%
T	886	4.4%
C	812	4.0%
Other values (31)	5789	28.5%

Accident State
Categorical

High correlation

Distinct	46
Distinct (%)	1.7%
Missing	12
Missing (%)	0.4%
Memory size	139.4 KiB

TX	1004
OK	236
LA	169
CA	153
KS	150
Other values (41)	1071

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	5566
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	KS
2nd row	ME
3rd row	LA
4th row	WI
5th row	TX

Common Values

Value	Count	Frequency (%)
TX	1004	35.9%
OK	236	8.4%
LA	169	6.0%
CA	153	5.5%
KS	150	5.4%
IL	108	3.9%
WY	98	3.5%
NJ	85	3.0%
MN	59	2.1%
NM	57	2.0%
Other values (36)	664	23.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
tx	1004	36.1%
ok	236	8.5%
la	169	6.1%
ca	153	5.5%
ks	150	5.4%
il	108	3.9%
wy	98	3.5%
nj	85	3.1%
mn	59	2.1%
nm	57	2.0%
Other values (36)	664	23.9%

Most occurring characters

Value	Count	Frequency (%)
T	1051	18.9%
X	1004	18.0%
A	505	9.1%
K	411	7.4%
N	366	6.6%
O	359	6.4%
L	305	5.5%
I	274	4.9%
M	260	4.7%
C	210	3.8%
Other values (13)	821	14.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	5566	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
T	1051	18.9%
X	1004	18.0%
A	505	9.1%
K	411	7.4%
N	366	6.6%
O	359	6.4%
L	305	5.5%
I	274	4.9%
M	260	4.7%
C	210	3.8%
Other values (13)	821	14.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	5566	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
T	1051	18.9%
X	1004	18.0%
A	505	9.1%
K	411	7.4%
N	366	6.6%
O	359	6.4%
L	305	5.5%
I	274	4.9%
M	260	4.7%
C	210	3.8%
Other values (13)	821	14.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	5566	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
T	1051	18.9%
X	1004	18.0%
A	505	9.1%
K	411	7.4%
N	366	6.6%
O	359	6.4%
L	305	5.5%
I	274	4.9%
M	260	4.7%
C	210	3.8%
Other values (13)	821	14.8%

Accident Latitude
Real number (ℝ)

High correlation

Distinct	2552
Distinct (%)	91.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	35.781608

Minimum	18.44801
Maximum	70.261265
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	18.44801
5-th percentile	29.193408
Q1	30.909375
median	34.92544
Q3	40.264062
95-th percentile	45.886617
Maximum	70.261265
Range	51.813255
Interquartile range (IQR)	9.354687

Descriptive statistics

Standard deviation	5.652599
Coefficient of variation (CV)	0.15797499
Kurtosis	2.9839586
Mean	35.781608
Median Absolute Deviation (MAD)	4.591596
Skewness	1.0577624
Sum	100009.59
Variance	31.951875
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
40.52243	32	1.1%
29.72979	7	0.3%
32.0711	7	0.3%
29.72536	6	0.2%
35.95885	6	0.2%
29.43573	6	0.2%
46.68889	5	0.2%
30.713929	5	0.2%
40.523327	4	0.1%
35.97916323	4	0.1%
Other values (2542)	2713	97.1%

Value	Count	Frequency (%)
18.44801	1	< 0.1%
21.30438	1	< 0.1%
21.31668	1	< 0.1%
21.31774	1	< 0.1%
23.336784	1	< 0.1%
25.964238	1	< 0.1%
26.650465	1	< 0.1%
27.5529182	1	< 0.1%
27.68402	1	< 0.1%
27.72222	1	< 0.1%

Value	Count	Frequency (%)
70.261265	1	< 0.1%
70.257147	1	< 0.1%
70.25666	1	< 0.1%
70.15120454	1	< 0.1%
70.10762	1	< 0.1%
67.7987	2	0.1%
66.812823	1	< 0.1%
65.31111	1	< 0.1%
63.93074	1	< 0.1%
63.42546	1	< 0.1%

Accident Longitude
Real number (ℝ)

High correlation

Distinct	2557
Distinct (%)	91.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	-95.682691

Minimum	-158.09993
Maximum	104.2634
Zeros	0
Zeros (%)	0.0%
Negative	2792
Negative (%)	99.9%
Memory size	22.0 KiB

Quantile statistics

Minimum	-158.09993
5-th percentile	-118.22202
Q1	-100.58764
median	-95.48887
Q3	-91.089463
95-th percentile	-75.421632
Maximum	104.2634
Range	262.36333
Interquartile range (IQR)	9.4981727

Descriptive statistics

Standard deviation	12.32843
Coefficient of variation (CV)	-0.12884702
Kurtosis	65.159769
Mean	-95.682691
Median Absolute Deviation (MAD)	4.56785
Skewness	3.661965
Sum	-267433.12
Variance	151.99019
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
-74.25384	32	1.1%
-95.22212	7	0.3%
-96.47409	7	0.3%
-95.121835	6	0.2%
-95.20334	6	0.2%
-96.75655	6	0.2%
-91.275048	5	0.2%
-92.05972	5	0.2%
-94.9731575	4	0.1%
-95.49514204	4	0.1%
Other values (2547)	2713	97.1%

Value	Count	Frequency (%)
-158.09993	1	< 0.1%
-158.0937	1	< 0.1%
-157.89055	1	< 0.1%
-150.662681	1	< 0.1%
-149.8164	2	0.1%
-148.621973	1	< 0.1%
-148.6203	1	< 0.1%
-148.611844	1	< 0.1%
-148.279	1	< 0.1%
-147.38633	1	< 0.1%

Value	Count	Frequency (%)
104.263399	1	< 0.1%
96.86614	1	< 0.1%
88.173136	1	< 0.1%
-14.35583	1	< 0.1%
-66.07476	1	< 0.1%
-70.49336	1	< 0.1%
-72.580633	1	< 0.1%
-72.580744	1	< 0.1%
-72.8999	1	< 0.1%
-72.90925	1	< 0.1%

Cause Category
Categorical

High correlation

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	191.1 KiB

MATERIAL/WELD/EQUIP FAILURE	1435
CORROSION	592
INCORRECT OPERATION	378
NATURAL FORCE DAMAGE	118
ALL OTHER CAUSES	118
Other values (2)	154

Length

Max length	27
Median length	27
Mean length	20.978175
Min length	9

Characters and Unicode

Total characters	58634
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	INCORRECT OPERATION
2nd row	MATERIAL/WELD/EQUIP FAILURE
3rd row	MATERIAL/WELD/EQUIP FAILURE
4th row	NATURAL FORCE DAMAGE
5th row	EXCAVATION DAMAGE

Common Values

Value	Count	Frequency (%)
MATERIAL/WELD/EQUIP FAILURE	1435	51.3%
CORROSION	592	21.2%
INCORRECT OPERATION	378	13.5%
NATURAL FORCE DAMAGE	118	4.2%
ALL OTHER CAUSES	118	4.2%
EXCAVATION DAMAGE	97	3.5%
OTHER OUTSIDE FORCE DAMAGE	57	2.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
material/weld/equip	1435	26.8%
failure	1435	26.8%
corrosion	592	11.1%
incorrect	378	7.1%
operation	378	7.1%
damage	272	5.1%
force	175	3.3%
other	175	3.3%
natural	118	2.2%
all	118	2.2%
Other values (3)	272	5.1%

Most occurring characters

Value	Count	Frequency (%)
E	7390	12.6%
A	5893	10.1%
I	5807	9.9%
R	5656	9.6%
L	4659	7.9%
O	3414	5.8%
U	3163	5.4%
/	2870	4.9%
T	2638	4.5%
	2553	4.4%
Other values (13)	14591	24.9%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58634	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	7390	12.6%
A	5893	10.1%
I	5807	9.9%
R	5656	9.6%
L	4659	7.9%
O	3414	5.8%
U	3163	5.4%
/	2870	4.9%
T	2638	4.5%
	2553	4.4%
Other values (13)	14591	24.9%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58634	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	7390	12.6%
A	5893	10.1%
I	5807	9.9%
R	5656	9.6%
L	4659	7.9%
O	3414	5.8%
U	3163	5.4%
/	2870	4.9%
T	2638	4.5%
	2553	4.4%
Other values (13)	14591	24.9%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58634	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	7390	12.6%
A	5893	10.1%
I	5807	9.9%
R	5656	9.6%
L	4659	7.9%
O	3414	5.8%
U	3163	5.4%
/	2870	4.9%
T	2638	4.5%
	2553	4.4%
Other values (13)	14591	24.9%

Cause Subcategory
Categorical

High correlation

Distinct	38
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Memory size	201.0 KiB

INTERNAL	362
PUMP OR PUMP-RELATED EQUIPMENT	296
NON-THREADED CONNECTION FAILURE	286
EXTERNAL	230
OTHER EQUIPMENT FAILURE	204
Other values (33)	1417

Length

Max length	49
Median length	39
Mean length	24.610733
Min length	7

Characters and Unicode

Total characters	68787
Distinct characters	29
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	0.1%

Sample

1st row	PIPELINE/EQUIPMENT OVERPRESSURED
2nd row	PUMP OR PUMP-RELATED EQUIPMENT
3rd row	DEFECTIVE OR LOOSE TUBING/FITTING
4th row	TEMPERATURE
5th row	THIRD PARTY EXCAVATION DAMAGE

Common Values

Value	Count	Frequency (%)
INTERNAL	362	13.0%
PUMP OR PUMP-RELATED EQUIPMENT	296	10.6%
NON-THREADED CONNECTION FAILURE	286	10.2%
EXTERNAL	230	8.2%
OTHER EQUIPMENT FAILURE	204	7.3%
MALFUNCTION OF CONTROL/RELIEF EQUIPMENT	171	6.1%
THREADED CONNECTION/COUPLING FAILURE	151	5.4%
CONSTRUCTION, INSTALLATION OR FABRICATION-RELATED	112	4.0%
OTHER INCORRECT OPERATION	86	3.1%
INCORRECT VALVE POSITION	84	3.0%
Other values (28)	813	29.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
equipment	749	10.1%
failure	708	9.5%
or	492	6.6%
internal	362	4.9%
other	324	4.4%
of	307	4.1%
pump	296	4.0%
pump-related	296	4.0%
non-threaded	286	3.8%
connection	286	3.8%
Other values (67)	3338	44.8%

Most occurring characters

Value	Count	Frequency (%)
E	8143	11.8%
N	6395	9.3%
T	5586	8.1%
O	5142	7.5%
R	5139	7.5%
I	4958	7.2%
	4649	6.8%
A	4384	6.4%
L	3568	5.2%
U	3066	4.5%
Other values (19)	17757	25.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	68787	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
E	8143	11.8%
N	6395	9.3%
T	5586	8.1%
O	5142	7.5%
R	5139	7.5%
I	4958	7.2%
	4649	6.8%
A	4384	6.4%
L	3568	5.2%
U	3066	4.5%
Other values (19)	17757	25.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	68787	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
E	8143	11.8%
N	6395	9.3%
T	5586	8.1%
O	5142	7.5%
R	5139	7.5%
I	4958	7.2%
	4649	6.8%
A	4384	6.4%
L	3568	5.2%
U	3066	4.5%
Other values (19)	17757	25.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	68787	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
E	8143	11.8%
N	6395	9.3%
T	5586	8.1%
O	5142	7.5%
R	5139	7.5%
I	4958	7.2%
	4649	6.8%
A	4384	6.4%
L	3568	5.2%
U	3066	4.5%
Other values (19)	17757	25.8%

Unintentional Release (Barrels)
Real number (ℝ)

High correlation Zeros

Distinct	697
Distinct (%)	24.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	207.24584

Minimum	0
Maximum	30565
Zeros	30
Zeros (%)	1.1%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0.1
Q1	0.48
median	2
Q3	20
95-th percentile	600
Maximum	30565
Range	30565
Interquartile range (IQR)	19.52

Descriptive statistics

Standard deviation	1368.6678
Coefficient of variation (CV)	6.6040785
Kurtosis	228.38617
Mean	207.24584
Median Absolute Deviation (MAD)	1.86
Skewness	13.625789
Sum	579252.13
Variance	1873251.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1	170	6.1%
2	107	3.8%
0.24	98	3.5%
3	83	3.0%
0.2	75	2.7%
0.5	68	2.4%
5	66	2.4%
0.48	58	2.1%
10	56	2.0%
4	54	1.9%
Other values (687)	1960	70.1%

Value	Count	Frequency (%)
0	30	1.1%
0.01	23	0.8%
0.02	20	0.7%
0.03	1	< 0.1%
0.04	2	0.1%
0.05	6	0.2%
0.06	2	0.1%
0.07	4	0.1%
0.08	3	0.1%
0.09	1	< 0.1%

Value	Count	Frequency (%)
30565	1	< 0.1%
27123	1	< 0.1%
23702	1	< 0.1%
20600	1	< 0.1%
20082	1	< 0.1%
18400	1	< 0.1%
13718	1	< 0.1%
12836	1	< 0.1%
12229	1	< 0.1%
11405	1	< 0.1%

Intentional Release (Barrels)
Real number (ℝ)

High correlation Missing Zeros

Distinct	117
Distinct (%)	9.7%
Missing	1586
Missing (%)	56.7%
Infinite	0
Infinite (%)	0.0%
Mean	238.53362

Minimum	0
Maximum	70191
Zeros	1049
Zeros (%)	37.5%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	59.6
Maximum	70191
Range	70191
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	2781.7715
Coefficient of variation (CV)	11.661968
Kurtosis	396.21607
Mean	238.53362
Median Absolute Deviation (MAD)	0
Skewness	18.405707
Sum	288387.15
Variance	7738252.4
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1049	37.5%
0.1	19	0.7%
5	4	0.1%
1	4	0.1%
0.2	3	0.1%
20	3	0.1%
0.01	3	0.1%
3.3	3	0.1%
500	3	0.1%
3	2	0.1%
Other values (107)	116	4.2%
(Missing)	1586	56.7%

Value	Count	Frequency (%)
0	1049	37.5%
0.01	3	0.1%
0.05	2	0.1%
0.1	19	0.7%
0.12	1	< 0.1%
0.2	3	0.1%
0.23	1	< 0.1%
0.24	1	< 0.1%
0.48	1	< 0.1%
0.5	2	0.1%

Value	Count	Frequency (%)
70191	1	< 0.1%
43180	1	< 0.1%
30699	1	< 0.1%
21506	1	< 0.1%
20777	1	< 0.1%
17825	1	< 0.1%
13500	1	< 0.1%
11709	1	< 0.1%
6692	1	< 0.1%
4925	1	< 0.1%

Liquid Recovery (Barrels)
Real number (ℝ)

High correlation Zeros

Distinct	539
Distinct (%)	19.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	75.051792

Minimum	0
Maximum	18245
Zeros	738
Zeros (%)	26.4%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0.74
Q3	8
95-th percentile	250
Maximum	18245
Range	18245
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	546.18825
Coefficient of variation (CV)	7.2774844
Kurtosis	520.55071
Mean	75.051792
Median Absolute Deviation (MAD)	0.74
Skewness	19.534404
Sum	209769.76
Variance	298321.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	738	26.4%
1	121	4.3%
2	75	2.7%
0.24	73	2.6%
0.5	60	2.1%
0.2	59	2.1%
10	54	1.9%
3	51	1.8%
5	45	1.6%
4	41	1.5%
Other values (529)	1478	52.9%

Value	Count	Frequency (%)
0	738	26.4%
0.01	16	0.6%
0.02	8	0.3%
0.03	1	< 0.1%
0.05	4	0.1%
0.06	1	< 0.1%
0.07	4	0.1%
0.08	1	< 0.1%
0.09	1	< 0.1%
0.1	24	0.9%

Value	Count	Frequency (%)
18245	1	< 0.1%
9950	1	< 0.1%
7538	1	< 0.1%
7327	1	< 0.1%
6643	1	< 0.1%
5856	1	< 0.1%
5300	1	< 0.1%
4978	1	< 0.1%
4383	1	< 0.1%
4069	1	< 0.1%

Net Loss (Barrels)
Real number (ℝ)

High correlation Zeros

Distinct	443
Distinct (%)	15.8%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	132.19405

Minimum	0
Maximum	30565
Zeros	1489
Zeros (%)	53.3%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	2
95-th percentile	200
Maximum	30565
Range	30565
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1185.0193
Coefficient of variation (CV)	8.9642405
Kurtosis	351.57259
Mean	132.19405
Median Absolute Deviation (MAD)	0
Skewness	17.087587
Sum	369482.37
Variance	1404270.6
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1489	53.3%
1	98	3.5%
2	73	2.6%
0.1	49	1.8%
0.5	48	1.7%
5	44	1.6%
3	36	1.3%
0.2	29	1.0%
0.24	24	0.9%
10	22	0.8%
Other values (433)	883	31.6%

Value	Count	Frequency (%)
0	1489	53.3%
0.01	11	0.4%
0.02	18	0.6%
0.03	6	0.2%
0.04	4	0.1%
0.05	12	0.4%
0.06	3	0.1%
0.07	4	0.1%
0.08	3	0.1%
0.09	6	0.2%

Value	Count	Frequency (%)
30565	1	< 0.1%
27123	1	< 0.1%
23702	1	< 0.1%
18400	1	< 0.1%
14744	1	< 0.1%
13718	1	< 0.1%
12836	1	< 0.1%
11405	1	< 0.1%
8000	1	< 0.1%
7846	1	< 0.1%

Liquid Ignition
Boolean

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 KiB

False	2700
True	95

Value	Count	Frequency (%)
False	2700	96.6%
True	95	3.4%

Liquid Explosion
Boolean

Imbalance

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.9 KiB

False	2780
True	15

Value	Count	Frequency (%)
False	2780	99.5%
True	15	0.5%

Pipeline Shutdown
Boolean

High correlation Missing

Distinct	2
Distinct (%)	0.1%
Missing	212
Missing (%)	7.6%
Memory size	5.6 KiB

True	1395
False	1188
(Missing)	212

Value	Count	Frequency (%)
True	1395	49.9%
False	1188	42.5%
(Missing)	212	7.6%

Shutdown Date/Time
Date

Missing

Distinct	1385
Distinct (%)	99.6%
Missing	1405
Missing (%)	50.3%
Memory size	22.0 KiB

Minimum	2010-01-08 23:41:00
Maximum	2016-12-28 16:20:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Restart Date/Time
Date

Missing

Distinct	1334
Distinct (%)	99.5%
Missing	1454
Missing (%)	52.0%
Memory size	22.0 KiB

Minimum	2010-01-11 22:08:00
Maximum	2017-01-06 17:16:00
Invalid dates	0
Invalid dates (%)	0.0%

Histogram with fixed size bins (bins=50)

Public Evacuations
Real number (ℝ)

High correlation Missing Skewed Zeros

Distinct	35
Distinct (%)	1.5%
Missing	457
Missing (%)	16.4%
Infinite	0
Infinite (%)	0.0%
Mean	0.96407186

Minimum	0
Maximum	700
Zeros	2285
Zeros (%)	81.8%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	0
Maximum	700
Range	700
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	18.151398
Coefficient of variation (CV)	18.827848
Kurtosis	1134.4098
Mean	0.96407186
Median Absolute Deviation (MAD)	0
Skewness	32.238091
Sum	2254
Variance	329.47325
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=35)

Value	Count	Frequency (%)
0	2285	81.8%
1	6	0.2%
2	4	0.1%
12	3	0.1%
5	3	0.1%
13	2	0.1%
8	2	0.1%
30	2	0.1%
6	2	0.1%
4	2	0.1%
Other values (25)	27	1.0%
(Missing)	457	16.4%

Value	Count	Frequency (%)
0	2285	81.8%
1	6	0.2%
2	4	0.1%
3	1	< 0.1%
4	2	0.1%
5	3	0.1%
6	2	0.1%
7	2	0.1%
8	2	0.1%
9	1	< 0.1%

Value	Count	Frequency (%)
700	1	< 0.1%
470	1	< 0.1%
150	1	< 0.1%
83	1	< 0.1%
75	1	< 0.1%
70	1	< 0.1%
61	1	< 0.1%
60	1	< 0.1%
47	1	< 0.1%
40	1	< 0.1%

Operator Employee Injuries
Categorical

High correlation Missing

Distinct	2
Distinct (%)	16.7%
Missing	2783
Missing (%)	99.6%
Memory size	152.9 KiB

0.0	9
1.0	3

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	36
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	0.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	9	0.3%
1.0	3	0.1%
(Missing)	2783	99.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	9	75.0%
1.0	3	25.0%

Most occurring characters

Value	Count	Frequency (%)
0	21	58.3%
.	12	33.3%
1	3	8.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	21	58.3%
.	12	33.3%
1	3	8.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	21	58.3%
.	12	33.3%
1	3	8.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	21	58.3%
.	12	33.3%
1	3	8.3%

Operator Contractor Injuries
Categorical

High correlation Missing

Distinct	5
Distinct (%)	41.7%
Missing	2783
Missing (%)	99.6%
Memory size	152.9 KiB

0.0	6
1.0	3
3.0	1
2.0	1
4.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	36
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	25.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	1.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	6	0.2%
1.0	3	0.1%
3.0	1	< 0.1%
2.0	1	< 0.1%
4.0	1	< 0.1%
(Missing)	2783	99.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	6	50.0%
1.0	3	25.0%
3.0	1	8.3%
2.0	1	8.3%
4.0	1	8.3%

Most occurring characters

Value	Count	Frequency (%)
0	18	50.0%
.	12	33.3%
1	3	8.3%
3	1	2.8%
2	1	2.8%
4	1	2.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	18	50.0%
.	12	33.3%
1	3	8.3%
3	1	2.8%
2	1	2.8%
4	1	2.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	18	50.0%
.	12	33.3%
1	3	8.3%
3	1	2.8%
2	1	2.8%
4	1	2.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	18	50.0%
.	12	33.3%
1	3	8.3%
3	1	2.8%
2	1	2.8%
4	1	2.8%

Emergency Responder Injuries
Categorical

Constant Missing

Distinct	1
Distinct (%)	8.3%
Missing	2783
Missing (%)	99.6%
Memory size	152.9 KiB

0.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	36
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	12	0.4%
(Missing)	2783	99.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	12	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	24	66.7%
.	12	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	24	66.7%
.	12	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	24	66.7%
.	12	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	24	66.7%
.	12	33.3%

Other Injuries
Categorical

Constant Missing

Distinct	1
Distinct (%)	8.3%
Missing	2783
Missing (%)	99.6%
Memory size	152.9 KiB

0.0	12

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	36
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	12	0.4%
(Missing)	2783	99.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	12	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	24	66.7%
.	12	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	24	66.7%
.	12	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	24	66.7%
.	12	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	24	66.7%
.	12	33.3%

Public Injuries
Categorical

High correlation Missing

Distinct	3
Distinct (%)	25.0%
Missing	2783
Missing (%)	99.6%
Memory size	152.9 KiB

0.0	9
1.0	2
3.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	36
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	8.3%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	9	0.3%
1.0	2	0.1%
3.0	1	< 0.1%
(Missing)	2783	99.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	9	75.0%
1.0	2	16.7%
3.0	1	8.3%

Most occurring characters

Value	Count	Frequency (%)
0	21	58.3%
.	12	33.3%
1	2	5.6%
3	1	2.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	21	58.3%
.	12	33.3%
1	2	5.6%
3	1	2.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	21	58.3%
.	12	33.3%
1	2	5.6%
3	1	2.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	21	58.3%
.	12	33.3%
1	2	5.6%
3	1	2.8%

All Injuries
Categorical

High correlation Missing

Distinct	4
Distinct (%)	33.3%
Missing	2783
Missing (%)	99.6%
Memory size	152.9 KiB

1.0	8
3.0	2
2.0	1
4.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	36
Distinct characters	6
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	16.7%

Sample

1st row	1.0
2nd row	1.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	8	0.3%
3.0	2	0.1%
2.0	1	< 0.1%
4.0	1	< 0.1%
(Missing)	2783	99.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	8	66.7%
3.0	2	16.7%
2.0	1	8.3%
4.0	1	8.3%

Most occurring characters

Value	Count	Frequency (%)
.	12	33.3%
0	12	33.3%
1	8	22.2%
3	2	5.6%
2	1	2.8%
4	1	2.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	12	33.3%
0	12	33.3%
1	8	22.2%
3	2	5.6%
2	1	2.8%
4	1	2.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	12	33.3%
0	12	33.3%
1	8	22.2%
3	2	5.6%
2	1	2.8%
4	1	2.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	36	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	12	33.3%
0	12	33.3%
1	8	22.2%
3	2	5.6%
2	1	2.8%
4	1	2.8%

Operator Employee Fatalities
Categorical

Constant Missing

Distinct	1
Distinct (%)	12.5%
Missing	2787
Missing (%)	99.7%
Memory size	152.9 KiB

0.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	8	0.3%
(Missing)	2787	99.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	8	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	16	66.7%
.	8	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	16	66.7%
.	8	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	16	66.7%
.	8	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	16	66.7%
.	8	33.3%

Operator Contractor Fatalities
Categorical

High correlation Missing

Distinct	3
Distinct (%)	37.5%
Missing	2787
Missing (%)	99.7%
Memory size	152.9 KiB

0.0	5
1.0	2
2.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	12.5%

Sample

1st row	0.0
2nd row	1.0
3rd row	0.0
4th row	1.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	5	0.2%
1.0	2	0.1%
2.0	1	< 0.1%
(Missing)	2787	99.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	5	62.5%
1.0	2	25.0%
2.0	1	12.5%

Most occurring characters

Value	Count	Frequency (%)
0	13	54.2%
.	8	33.3%
1	2	8.3%
2	1	4.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	13	54.2%
.	8	33.3%
1	2	8.3%
2	1	4.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	13	54.2%
.	8	33.3%
1	2	8.3%
2	1	4.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	13	54.2%
.	8	33.3%
1	2	8.3%
2	1	4.2%

Emergency Responder Fatalities
Categorical

Constant Missing

Distinct	1
Distinct (%)	12.5%
Missing	2787
Missing (%)	99.7%
Memory size	152.9 KiB

0.0	8

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	8	0.3%
(Missing)	2787	99.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	8	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	16	66.7%
.	8	33.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	16	66.7%
.	8	33.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	16	66.7%
.	8	33.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	16	66.7%
.	8	33.3%

Other Fatalities
Categorical

High correlation Missing

Distinct	2
Distinct (%)	25.0%
Missing	2787
Missing (%)	99.7%
Memory size	152.9 KiB

0.0	7
1.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	12.5%

Sample

1st row	0.0
2nd row	0.0
3rd row	0.0
4th row	0.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
0.0	7	0.3%
1.0	1	< 0.1%
(Missing)	2787	99.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	7	87.5%
1.0	1	12.5%

Most occurring characters

Value	Count	Frequency (%)
0	15	62.5%
.	8	33.3%
1	1	4.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	15	62.5%
.	8	33.3%
1	1	4.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	15	62.5%
.	8	33.3%
1	1	4.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	15	62.5%
.	8	33.3%
1	1	4.2%

Public Fatalities
Categorical

High correlation Missing

Distinct	3
Distinct (%)	37.5%
Missing	2787
Missing (%)	99.7%
Memory size	152.9 KiB

0.0	4
1.0	3
2.0	1

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	12.5%

Sample

1st row	1.0
2nd row	0.0
3rd row	2.0
4th row	0.0
5th row	0.0

Common Values

Value	Count	Frequency (%)
0.0	4	0.1%
1.0	3	0.1%
2.0	1	< 0.1%
(Missing)	2787	99.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0.0	4	50.0%
1.0	3	37.5%
2.0	1	12.5%

Most occurring characters

Value	Count	Frequency (%)
0	12	50.0%
.	8	33.3%
1	3	12.5%
2	1	4.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	12	50.0%
.	8	33.3%
1	3	12.5%
2	1	4.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	12	50.0%
.	8	33.3%
1	3	12.5%
2	1	4.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	12	50.0%
.	8	33.3%
1	3	12.5%
2	1	4.2%

All Fatalities
Categorical

High correlation Missing

Distinct	2
Distinct (%)	25.0%
Missing	2787
Missing (%)	99.7%
Memory size	152.9 KiB

1.0	6
2.0	2

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	24
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.0
3rd row	2.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	6	0.2%
2.0	2	0.1%
(Missing)	2787	99.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.0	6	75.0%
2.0	2	25.0%

Most occurring characters

Value	Count	Frequency (%)
.	8	33.3%
0	8	33.3%
1	6	25.0%
2	2	8.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	8	33.3%
0	8	33.3%
1	6	25.0%
2	2	8.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	8	33.3%
0	8	33.3%
1	6	25.0%
2	2	8.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	24	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	8	33.3%
0	8	33.3%
1	6	25.0%
2	2	8.3%

Property Damage Costs
Real number (ℝ)

High correlation Skewed Zeros

Distinct	768
Distinct (%)	27.5%
Missing	7
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	112296.27

Minimum	0
Maximum	27000000
Zeros	539
Zeros (%)	19.3%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	100
median	3000
Q3	25000
95-th percentile	350000
Maximum	27000000
Range	27000000
Interquartile range (IQR)	24900

Descriptive statistics

Standard deviation	870994.74
Coefficient of variation (CV)	7.7562217
Kurtosis	584.38851
Mean	112296.27
Median Absolute Deviation (MAD)	3000
Skewness	21.928212
Sum	3.1308199 × 10⁸
Variance	7.5863184 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	539	19.3%
1000	118	4.2%
500	101	3.6%
5000	88	3.1%
100	83	3.0%
10000	71	2.5%
2000	53	1.9%
1500	49	1.8%
2500	48	1.7%
20000	47	1.7%
Other values (758)	1591	56.9%

Value	Count	Frequency (%)
0	539	19.3%
1	1	< 0.1%
3	1	< 0.1%
5	4	0.1%
10	12	0.4%
15	5	0.2%
20	9	0.3%
25	14	0.5%
28	1	< 0.1%
30	4	0.1%

Value	Count	Frequency (%)
27000000	1	< 0.1%
24323483	1	< 0.1%
14130000	1	< 0.1%
11614000	1	< 0.1%
9868173	1	< 0.1%
7701361	1	< 0.1%
7368470	1	< 0.1%
5277000	1	< 0.1%
5000000	1	< 0.1%
4588574	1	< 0.1%

Lost Commodity Costs
Real number (ℝ)

High correlation Zeros

Distinct	748
Distinct (%)	26.8%
Missing	4
Missing (%)	0.1%
Infinite	0
Infinite (%)	0.0%
Mean	9805.2988

Minimum	0
Maximum	1417839
Zeros	466
Zeros (%)	16.7%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	20
median	100
Q3	700
95-th percentile	31806.5
Maximum	1417839
Range	1417839
Interquartile range (IQR)	680

Descriptive statistics

Standard deviation	63840.75
Coefficient of variation (CV)	6.5108418
Kurtosis	204.19898
Mean	9805.2988
Median Absolute Deviation (MAD)	100
Skewness	12.934035
Sum	27366589
Variance	4.0756413 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	466	16.7%
100	118	4.2%
50	117	4.2%
200	70	2.5%
25	65	2.3%
20	60	2.1%
500	56	2.0%
150	55	2.0%
300	49	1.8%
30	49	1.8%
Other values (738)	1686	60.3%

Value	Count	Frequency (%)
0	466	16.7%
1	18	0.6%
2	14	0.5%
3	9	0.3%
4	3	0.1%
5	12	0.4%
6	4	0.1%
7	4	0.1%
8	5	0.2%
9	6	0.2%

Value	Count	Frequency (%)
1417839	1	< 0.1%
1092448	1	< 0.1%
1001020	1	< 0.1%
995728	1	< 0.1%
977937	1	< 0.1%
773369	1	< 0.1%
734072	1	< 0.1%
706140	1	< 0.1%
688000	1	< 0.1%
622934	1	< 0.1%

Public/Private Property Damage Costs
Real number (ℝ)

High correlation Skewed Zeros

Distinct	110
Distinct (%)	3.9%
Missing	10
Missing (%)	0.4%
Infinite	0
Infinite (%)	0.0%
Mean	25121.949

Minimum	0
Maximum	23000000
Zeros	2527
Zeros (%)	90.4%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	5000
Maximum	23000000
Range	23000000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	524358.08
Coefficient of variation (CV)	20.872508
Kurtosis	1444.8177
Mean	25121.949
Median Absolute Deviation (MAD)	0
Skewness	35.946083
Sum	69964627
Variance	2.749514 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2527	90.4%
5000	26	0.9%
1000	22	0.8%
500	14	0.5%
10000	13	0.5%
2000	12	0.4%
2500	11	0.4%
25000	10	0.4%
20000	7	0.3%
50000	6	0.2%
Other values (100)	137	4.9%
(Missing)	10	0.4%

Value	Count	Frequency (%)
0	2527	90.4%
1	1	< 0.1%
25	1	< 0.1%
50	1	< 0.1%
100	1	< 0.1%
150	1	< 0.1%
250	2	0.1%
300	1	< 0.1%
350	1	< 0.1%
400	1	< 0.1%

Value	Count	Frequency (%)
23000000	1	< 0.1%
12233787	1	< 0.1%
7500000	1	< 0.1%
2421000	1	< 0.1%
2292685	1	< 0.1%
2000000	1	< 0.1%
1740000	1	< 0.1%
1634497	1	< 0.1%
1390480	1	< 0.1%
1273261	1	< 0.1%

Emergency Response Costs
Real number (ℝ)

High correlation Skewed Zeros

Distinct	712
Distinct (%)	25.5%
Missing	6
Missing (%)	0.2%
Infinite	0
Infinite (%)	0.0%
Mean	291891.13

Minimum	0
Maximum	1.77 × 10⁸
Zeros	809
Zeros (%)	28.9%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	2520
Q3	15500
95-th percentile	278424.8
Maximum	1.77 × 10⁸
Range	1.77 × 10⁸
Interquartile range (IQR)	15500

Descriptive statistics

Standard deviation	4617076.5
Coefficient of variation (CV)	15.817803
Kurtosis	926.12377
Mean	291891.13
Median Absolute Deviation (MAD)	2520
Skewness	28.418607
Sum	8.1408437 × 10⁸
Variance	2.1317395 × 10¹³
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	809	28.9%
5000	125	4.5%
1000	88	3.1%
2000	78	2.8%
10000	77	2.8%
3000	63	2.3%
500	62	2.2%
1500	45	1.6%
20000	44	1.6%
2500	44	1.6%
Other values (702)	1354	48.4%

Value	Count	Frequency (%)
0	809	28.9%
30	2	0.1%
40	1	< 0.1%
50	8	0.3%
60	1	< 0.1%
65	1	< 0.1%
75	1	< 0.1%
100	22	0.8%
120	4	0.1%
125	3	0.1%

Value	Count	Frequency (%)
177000000	1	< 0.1%
100000000	1	< 0.1%
90701042	1	< 0.1%
64700000	1	< 0.1%
64000000	1	< 0.1%
18423499	1	< 0.1%
14885903	1	< 0.1%
14091554	1	< 0.1%
12146232	1	< 0.1%
10058698	1	< 0.1%

Environmental Remediation Costs
Real number (ℝ)

High correlation Skewed Zeros

Distinct	628
Distinct (%)	22.5%
Missing	8
Missing (%)	0.3%
Infinite	0
Infinite (%)	0.0%
Mean	362809.44

Minimum	0
Maximum	6.35 × 10⁸
Zeros	1240
Zeros (%)	44.4%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	800
Q3	15000
95-th percentile	331250
Maximum	6.35 × 10⁸
Range	6.35 × 10⁸
Interquartile range (IQR)	15000

Descriptive statistics

Standard deviation	12068872
Coefficient of variation (CV)	33.265044
Kurtosis	2747.3699
Mean	362809.44
Median Absolute Deviation (MAD)	800
Skewness	52.237171
Sum	1.0111499 × 10⁹
Variance	1.4565767 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	1240	44.4%
5000	94	3.4%
1000	73	2.6%
10000	54	1.9%
500	51	1.8%
2000	45	1.6%
15000	41	1.5%
3000	37	1.3%
20000	36	1.3%
25000	33	1.2%
Other values (618)	1083	38.7%

Value	Count	Frequency (%)
0	1240	44.4%
35	1	< 0.1%
50	3	0.1%
90	1	< 0.1%
100	17	0.6%
125	1	< 0.1%
150	1	< 0.1%
170	1	< 0.1%
185	1	< 0.1%
200	19	0.7%

Value	Count	Frequency (%)
635000000	1	< 0.1%
22421933	1	< 0.1%
20300000	1	< 0.1%
20100000	1	< 0.1%
18036789	1	< 0.1%
16538963	1	< 0.1%
13656687	1	< 0.1%
11031800	1	< 0.1%
10152365	1	< 0.1%
7460274	1	< 0.1%

Other Costs
Real number (ℝ)

High correlation Skewed Zeros

Distinct	175
Distinct (%)	6.3%
Missing	16
Missing (%)	0.6%
Infinite	0
Infinite (%)	0.0%
Mean	34356.04

Minimum	0
Maximum	22350000
Zeros	2465
Zeros (%)	88.2%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	0
95-th percentile	12420.2
Maximum	22350000
Range	22350000
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	619123.48
Coefficient of variation (CV)	18.020805
Kurtosis	991.51925
Mean	34356.04
Median Absolute Deviation (MAD)	0
Skewness	29.872262
Sum	95475434
Variance	3.8331388 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2465	88.2%
5000	13	0.5%
10000	12	0.4%
500	12	0.4%
1500	10	0.4%
1000	10	0.4%
15000	9	0.3%
2000	9	0.3%
4000	8	0.3%
50000	8	0.3%
Other values (165)	223	8.0%
(Missing)	16	0.6%

Value	Count	Frequency (%)
0	2465	88.2%
50	1	< 0.1%
70	1	< 0.1%
100	1	< 0.1%
150	1	< 0.1%
200	2	0.1%
224	1	< 0.1%
225	1	< 0.1%
249	1	< 0.1%
250	2	0.1%

Value	Count	Frequency (%)
22350000	1	< 0.1%
19796736	1	< 0.1%
6422527	1	< 0.1%
5809733	1	< 0.1%
5300000	1	< 0.1%
4800000	1	< 0.1%
4000000	1	< 0.1%
3594260	1	< 0.1%
2400000	1	< 0.1%
2000000	2	0.1%

All Costs
Real number (ℝ)

High correlation Skewed Zeros

Distinct	2279
Distinct (%)	81.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	834033.25

Minimum	0
Maximum	8.4052612 × 10⁸
Zeros	34
Zeros (%)	1.2%
Negative	0
Negative (%)	0.0%
Memory size	22.0 KiB

Quantile statistics

Minimum	0
5-th percentile	396.1
Q1	5039.5
median	23129
Q3	117232.5
95-th percentile	1278268
Maximum	8.4052612 × 10⁸
Range	8.4052612 × 10⁸
Interquartile range (IQR)	112193

Descriptive statistics

Standard deviation	16578298
Coefficient of variation (CV)	19.877263
Kurtosis	2361.5433
Mean	834033.25
Median Absolute Deviation (MAD)	21529
Skewness	47.05731
Sum	2.3311229 × 10⁹
Variance	2.7483998 × 10¹⁴
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	34	1.2%
5000	21	0.8%
1000	11	0.4%
20000	10	0.4%
30000	10	0.4%
10000	10	0.4%
2000	9	0.3%
15000	9	0.3%
6000	7	0.3%
1050	7	0.3%
Other values (2269)	2667	95.4%

Value	Count	Frequency (%)
0	34	1.2%
1	2	0.1%
2	1	< 0.1%
3	1	< 0.1%
9	1	< 0.1%
10	2	0.1%
14	1	< 0.1%
18	1	< 0.1%
20	1	< 0.1%
23	1	< 0.1%

Value	Count	Frequency (%)
840526118	1	< 0.1%
142931884	1	< 0.1%
135000000	1	< 0.1%
91300000	1	< 0.1%
66234072	1	< 0.1%
47393566	1	< 0.1%
35728903	1	< 0.1%
32233740	1	< 0.1%
28938000	1	< 0.1%
24323483	1	< 0.1%

Interactions

Correlations

	Accident Latitude	Accident Longitude	Accident State	Accident Year	All Costs	All Fatalities	All Injuries	Cause Category	Cause Subcategory	Emergency Response Costs	Environmental Remediation Costs	Intentional Release (Barrels)	Liquid Explosion	Liquid Ignition	Liquid Recovery (Barrels)	Liquid Subtype	Liquid Type	Lost Commodity Costs	Net Loss (Barrels)	Operator Contractor Fatalities	Operator Contractor Injuries	Operator Employee Injuries	Operator ID	Other Costs	Other Fatalities	Pipeline Location	Pipeline Shutdown	Pipeline Type	Property Damage Costs	Public Evacuations	Public Fatalities	Public Injuries	Public/Private Property Damage Costs	Report Number	Supplemental Number	Unintentional Release (Barrels)
Accident Latitude	1.000	0.053	0.720	-0.054	0.049	0.000	0.000	0.066	0.106	0.120	0.158	-0.013	0.009	0.030	0.079	0.147	0.142	-0.067	-0.061	0.000	0.000	0.000	-0.057	0.058	0.000	0.245	0.010	0.034	-0.010	0.070	0.561	0.464	0.094	-0.055	-0.004	-0.008
Accident Longitude	0.053	1.000	0.714	-0.062	0.111	1.000	1.000	0.024	0.057	0.095	0.012	-0.061	0.000	0.043	-0.051	0.131	0.182	-0.143	-0.103	1.000	1.000	1.000	-0.205	-0.014	1.000	0.000	0.045	0.071	0.050	0.076	1.000	1.000	-0.048	-0.081	-0.058	-0.151
Accident State	0.720	0.714	1.000	0.052	0.141	0.577	0.000	0.118	0.080	0.209	0.134	0.142	0.167	0.095	0.058	0.227	0.261	0.169	0.340	0.271	0.000	0.000	0.325	0.209	0.577	0.131	0.114	0.127	0.145	0.000	0.357	0.745	0.065	0.044	0.086	0.294
Accident Year	-0.054	-0.062	0.052	1.000	-0.005	0.000	0.000	0.059	0.094	0.006	-0.095	0.222	0.000	0.000	0.052	0.040	0.040	-0.037	-0.097	0.000	0.000	0.612	0.107	-0.058	0.577	0.000	0.042	0.066	0.022	-0.073	0.000	0.051	-0.013	0.983	0.860	-0.016
All Costs	0.049	0.111	0.141	-0.005	1.000	1.000	1.000	0.000	0.165	0.593	0.512	0.000	0.000	0.000	0.385	1.000	0.000	0.428	0.182	1.000	1.000	1.000	-0.061	0.185	1.000	0.000	0.023	0.015	0.670	0.192	1.000	1.000	0.312	-0.014	0.079	0.461
All Fatalities	0.000	1.000	0.577	0.000	1.000	1.000	0.866	0.000	0.000	1.000	1.000	1.000	0.000	0.000	1.000	0.707	0.667	0.000	0.000	0.459	0.217	0.000	0.000	1.000	0.000	1.000	0.000	0.000	0.000	1.000	0.500	0.354	1.000	0.000	0.000	0.000
All Injuries	0.000	1.000	0.000	0.000	1.000	0.866	1.000	0.000	0.000	1.000	1.000	1.000	0.000	0.000	1.000	0.000	0.307	1.000	0.472	0.553	0.798	0.000	0.000	1.000	1.000	1.000	0.000	0.000	1.000	1.000	0.553	0.000	1.000	0.000	0.000	0.472
Cause Category	0.066	0.024	0.118	0.059	0.000	0.000	0.000	1.000	0.994	0.066	0.000	0.054	0.007	0.178	0.044	0.051	0.118	0.082	0.077	0.082	0.000	0.000	0.047	0.044	0.000	0.053	0.155	0.304	0.064	0.088	0.000	0.705	0.066	0.070	0.088	0.079
Cause Subcategory	0.106	0.057	0.080	0.094	0.165	0.000	0.000	0.994	1.000	0.187	0.221	0.084	0.216	0.404	0.144	0.182	0.213	0.368	0.364	0.000	0.000	0.457	0.069	0.122	0.707	0.122	0.224	0.410	0.183	0.180	0.000	0.646	0.211	0.113	0.113	0.367
Emergency Response Costs	0.120	0.095	0.209	0.006	0.593	1.000	1.000	0.066	0.187	1.000	0.327	-0.121	0.000	0.000	0.435	0.000	0.000	0.291	0.040	1.000	1.000	1.000	-0.178	0.113	1.000	0.000	0.021	0.000	0.259	0.117	1.000	1.000	0.242	-0.001	0.062	0.385
Environmental Remediation Costs	0.158	0.012	0.134	-0.095	0.512	1.000	1.000	0.000	0.221	0.327	1.000	-0.272	0.000	0.000	0.450	1.000	0.000	0.334	0.111	1.000	1.000	1.000	-0.074	0.088	1.000	0.000	0.000	0.000	0.186	0.038	1.000	1.000	0.262	-0.100	-0.029	0.382
Intentional Release (Barrels)	-0.013	-0.061	0.142	0.222	0.000	1.000	1.000	0.054	0.084	-0.121	-0.272	1.000	0.000	0.000	-0.347	0.000	0.168	0.208	0.283	1.000	1.000	1.000	0.262	-0.001	1.000	0.000	0.000	0.000	0.138	0.048	1.000	1.000	0.057	0.211	0.152	0.075
Liquid Explosion	0.009	0.000	0.167	0.000	0.000	0.000	0.000	0.007	0.216	0.000	0.000	0.000	1.000	0.378	0.000	0.132	0.114	0.205	0.475	0.000	0.000	0.000	0.008	0.121	0.000	0.000	0.015	0.000	0.000	0.254	0.000	0.000	0.000	0.000	0.038	0.398
Liquid Ignition	0.030	0.043	0.095	0.000	0.000	0.000	0.000	0.178	0.404	0.000	0.000	0.000	0.378	1.000	0.000	0.177	0.133	0.126	0.227	0.000	0.000	0.000	0.081	0.060	0.000	0.000	0.000	0.000	0.000	0.139	0.000	0.000	0.000	0.041	0.074	0.193
Liquid Recovery (Barrels)	0.079	-0.051	0.058	0.052	0.385	1.000	1.000	0.044	0.144	0.435	0.450	-0.347	0.000	0.000	1.000	0.000	0.000	0.347	-0.192	1.000	1.000	1.000	-0.170	0.083	1.000	0.000	0.047	0.031	0.119	-0.033	1.000	1.000	0.122	0.047	0.099	0.604
Liquid Subtype	0.147	0.131	0.227	0.040	1.000	0.707	0.000	0.051	0.182	0.000	1.000	0.000	0.132	0.177	0.000	1.000	0.998	0.032	0.046	0.000	0.000	0.365	0.315	0.000	0.000	1.000	0.181	0.178	0.047	0.000	0.000	0.200	1.000	0.029	0.094	0.045
Liquid Type	0.142	0.182	0.261	0.040	0.000	0.667	0.307	0.118	0.213	0.000	0.000	0.168	0.114	0.133	0.000	0.998	1.000	0.048	0.076	0.602	0.292	0.292	0.207	0.000	0.000	0.071	0.086	0.087	0.000	0.000	0.269	0.289	0.000	0.038	0.111	0.053
Lost Commodity Costs	-0.067	-0.143	0.169	-0.037	0.428	0.000	1.000	0.082	0.368	0.291	0.334	0.208	0.205	0.126	0.347	0.032	0.048	1.000	0.424	0.000	1.000	1.000	0.048	0.081	0.913	0.000	0.066	0.047	0.236	0.190	0.000	1.000	0.252	-0.036	0.005	0.703
Net Loss (Barrels)	-0.061	-0.103	0.340	-0.097	0.182	0.000	0.472	0.077	0.364	0.040	0.111	0.283	0.475	0.227	-0.192	0.046	0.076	0.424	1.000	0.000	0.387	0.000	0.156	0.091	0.913	0.000	0.055	0.052	0.133	0.208	0.000	0.000	0.197	-0.093	-0.059	0.442
Operator Contractor Fatalities	0.000	1.000	0.271	0.000	1.000	0.459	0.553	0.082	0.000	1.000	1.000	1.000	0.000	0.000	1.000	0.000	0.602	0.000	0.000	1.000	0.692	0.000	0.000	1.000	0.000	1.000	0.408	0.365	0.000	1.000	0.141	0.408	1.000	0.000	0.000	0.000
Operator Contractor Injuries	0.000	1.000	0.000	0.000	1.000	0.217	0.798	0.000	0.000	1.000	1.000	1.000	0.000	0.000	1.000	0.000	0.292	1.000	0.387	0.692	1.000	0.000	0.000	1.000	1.000	1.000	0.628	0.000	1.000	1.000	0.000	0.000	1.000	0.077	0.000	0.387
Operator Employee Injuries	0.000	1.000	0.000	0.612	1.000	0.000	0.000	0.000	0.457	1.000	1.000	1.000	0.000	0.000	1.000	0.365	0.292	1.000	0.000	0.000	0.000	1.000	0.000	1.000	1.000	1.000	0.000	0.000	1.000	1.000	0.000	0.000	1.000	0.000	0.000	0.000
Operator ID	-0.057	-0.205	0.325	0.107	-0.061	0.000	0.000	0.047	0.069	-0.178	-0.074	0.262	0.008	0.081	-0.170	0.315	0.207	0.048	0.156	0.000	0.000	0.000	1.000	-0.024	0.000	0.022	0.004	0.085	-0.007	-0.019	0.000	0.000	0.002	0.120	0.108	0.003
Other Costs	0.058	-0.014	0.209	-0.058	0.185	1.000	1.000	0.044	0.122	0.113	0.088	-0.001	0.121	0.060	0.083	0.000	0.000	0.081	0.091	1.000	1.000	1.000	-0.024	1.000	1.000	0.000	0.038	0.001	0.052	0.137	1.000	1.000	0.151	-0.059	-0.003	0.116
Other Fatalities	0.000	1.000	0.577	0.577	1.000	0.000	1.000	0.000	0.707	1.000	1.000	1.000	0.000	0.000	1.000	0.000	0.000	0.913	0.913	0.000	1.000	1.000	0.000	1.000	1.000	1.000	0.000	0.000	0.218	1.000	0.000	1.000	1.000	0.577	0.408	0.913
Pipeline Location	0.245	0.000	0.131	0.000	0.000	1.000	1.000	0.053	0.122	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.071	0.000	0.000	1.000	1.000	1.000	0.022	0.000	1.000	1.000	0.000	1.000	0.000	0.000	1.000	1.000	0.000	0.000	0.076	0.000
Pipeline Shutdown	0.010	0.045	0.114	0.042	0.023	0.000	0.000	0.155	0.224	0.021	0.000	0.000	0.015	0.000	0.047	0.181	0.086	0.066	0.055	0.408	0.628	0.000	0.004	0.038	0.000	0.000	1.000	0.260	0.024	0.004	0.000	0.408	0.000	0.034	0.142	0.077
Pipeline Type	0.034	0.071	0.127	0.066	0.015	0.000	0.000	0.304	0.410	0.000	0.000	0.000	0.000	0.000	0.031	0.178	0.087	0.047	0.052	0.365	0.000	0.000	0.085	0.001	0.000	1.000	0.260	1.000	0.017	0.000	0.000	0.249	0.000	0.065	0.143	0.070
Property Damage Costs	-0.010	0.050	0.145	0.022	0.670	0.000	1.000	0.064	0.183	0.259	0.186	0.138	0.000	0.000	0.119	0.047	0.000	0.236	0.133	0.000	1.000	1.000	-0.007	0.052	0.218	0.000	0.024	0.017	1.000	0.177	0.000	1.000	0.204	0.021	0.077	0.221
Public Evacuations	0.070	0.076	0.000	-0.073	0.192	1.000	1.000	0.088	0.180	0.117	0.038	0.048	0.254	0.139	-0.033	0.000	0.000	0.190	0.208	1.000	1.000	1.000	-0.019	0.137	1.000	0.000	0.004	0.000	0.177	1.000	1.000	1.000	0.185	-0.073	-0.019	0.189
Public Fatalities	0.561	1.000	0.357	0.000	1.000	0.500	0.553	0.000	0.000	1.000	1.000	1.000	0.000	0.000	1.000	0.000	0.269	0.000	0.000	0.141	0.000	0.000	0.000	1.000	0.000	1.000	0.000	0.000	0.000	1.000	1.000	1.000	1.000	0.000	0.000	0.000
Public Injuries	0.464	1.000	0.745	0.051	1.000	0.354	0.000	0.705	0.646	1.000	1.000	1.000	0.000	0.000	1.000	0.200	0.289	1.000	0.000	0.408	0.000	0.000	0.000	1.000	1.000	1.000	0.408	0.249	1.000	1.000	1.000	1.000	1.000	0.000	0.442	0.000
Public/Private Property Damage Costs	0.094	-0.048	0.065	-0.013	0.312	1.000	1.000	0.066	0.211	0.242	0.262	0.057	0.000	0.000	0.122	1.000	0.000	0.252	0.197	1.000	1.000	1.000	0.002	0.151	1.000	0.000	0.000	0.000	0.204	0.185	1.000	1.000	1.000	-0.017	0.027	0.241
Report Number	-0.055	-0.081	0.044	0.983	-0.014	0.000	0.000	0.070	0.113	-0.001	-0.100	0.211	0.000	0.041	0.047	0.029	0.038	-0.036	-0.093	0.000	0.077	0.000	0.120	-0.059	0.577	0.000	0.034	0.065	0.021	-0.073	0.000	0.000	-0.017	1.000	0.876	-0.015
Supplemental Number	-0.004	-0.058	0.086	0.860	0.079	0.000	0.000	0.088	0.113	0.062	-0.029	0.152	0.038	0.074	0.099	0.094	0.111	0.005	-0.059	0.000	0.000	0.000	0.108	-0.003	0.408	0.076	0.142	0.143	0.077	-0.019	0.000	0.442	0.027	0.876	1.000	0.040
Unintentional Release (Barrels)	-0.008	-0.151	0.294	-0.016	0.461	0.000	0.472	0.079	0.367	0.385	0.382	0.075	0.398	0.193	0.604	0.045	0.053	0.703	0.442	0.000	0.387	0.000	0.003	0.116	0.913	0.000	0.077	0.070	0.221	0.189	0.000	0.000	0.241	-0.015	0.040	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	Report Number	Supplemental Number	Accident Year	Accident Date/Time	Operator ID	Operator Name	Pipeline/Facility Name	Pipeline Location	Pipeline Type	Liquid Type	Liquid Subtype	Liquid Name	Accident City	Accident County	Accident State	Accident Latitude	Accident Longitude	Cause Category	Cause Subcategory	Unintentional Release (Barrels)	Intentional Release (Barrels)	Liquid Recovery (Barrels)	Net Loss (Barrels)	Liquid Ignition	Liquid Explosion	Pipeline Shutdown	Shutdown Date/Time	Restart Date/Time	Public Evacuations	Operator Employee Injuries	Operator Contractor Injuries	Emergency Responder Injuries	Other Injuries	Public Injuries	All Injuries	Operator Employee Fatalities	Operator Contractor Fatalities	Emergency Responder Fatalities	Other Fatalities	Public Fatalities	All Fatalities	Property Damage Costs	Lost Commodity Costs	Public/Private Property Damage Costs	Emergency Response Costs	Environmental Remediation Costs	Other Costs	All Costs
0	20100016	17305	2010	1/1/2010 7:15 AM	32109	ONEOK NGL PIPELINE LP	KINDER MORGAN JCT	ONSHORE	ABOVEGROUND	HVL OR OTHER FLAMMABLE OR TOXIC FLUID, GAS	LPG (LIQUEFIED PETROLEUM GAS) / NGL (NATURAL GAS LIQUID)	NaN	MCPHERSON	MCPHERSON	KS	38.67070	-97.78123	INCORRECT OPERATION	PIPELINE/EQUIPMENT OVERPRESSURED	21.00	0.1	0.00	21.00	NO	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	110.0	1517.0	0.0	0.0	0.0	0.0	1627
1	20100254	17331	2010	1/4/2010 8:30 AM	15786	PORTLAND PIPELINE CORP	24-INCH MAIN LINE	ONSHORE	ABOVEGROUND	CRUDE OIL	NaN	NaN	RAYMOND	CUMBERLAND	ME	43.94028	-70.49336	MATERIAL/WELD/EQUIP FAILURE	PUMP OR PUMP-RELATED EQUIPMENT	0.12	0.0	0.12	0.00	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	4000.0	8.0	0.0	0.0	0.0	0.0	4008
2	20100038	17747	2010	1/5/2010 10:30 AM	20160	PETROLOGISTICS OLEFINS, LLC	NaN	ONSHORE	ABOVEGROUND	HVL OR OTHER FLAMMABLE OR TOXIC FLUID, GAS	OTHER HVL	ETHANE	SULPHER	CALCASIEU	LA	30.18240	-93.35240	MATERIAL/WELD/EQUIP FAILURE	DEFECTIVE OR LOOSE TUBING/FITTING	2.00	0.0	0.00	2.00	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	200.0	0.0	0.0	0.0	0.0	200
3	20100260	18574	2010	1/6/2010 7:30 PM	11169	ENBRIDGE ENERGY, LIMITED PARTNERSHIP	SUPERIOR TERMINAL	ONSHORE	UNDERGROUND	CRUDE OIL	NaN	NaN	SUPERIOR	DOUGLAS	WI	46.68930	-92.06120	NATURAL FORCE DAMAGE	TEMPERATURE	0.48	0.0	0.48	0.00	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	200.0	40.0	0.0	11300.0	0.0	0.0	11540
4	20100030	16276	2010	1/7/2010 1:00 PM	300	PLAINS PIPELINE, L.P.	RED RIVER EAST	ONSHORE	UNDERGROUND	CRUDE OIL	NaN	NaN	SHERMAN	GRAYSON	TX	33.58266	-96.64881	EXCAVATION DAMAGE	THIRD PARTY EXCAVATION DAMAGE	700.00	NaN	698.00	2.00	NO	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	20000.0	150.0	0.0	7500.0	2000.0	0.0	29650
5	20100021	17161	2010	1/8/2010 11:38 PM	11169	ENBRIDGE ENERGY, LIMITED PARTNERSHIP	NaN	ONSHORE	UNDERGROUND	CRUDE OIL	NaN	NaN	NECHE	PEMBINA	ND	48.99555	-97.52554	MATERIAL/WELD/EQUIP FAILURE	MANUFACTURING-RELATED	3784.00	0.0	1547.00	2237.00	NO	NO	YES	1/8/2010 23:41	1/13/2010 9:17	0.0	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	76940.0	167775.0	150000.0	1800000.0	2000000.0	0.0	4194715
6	20110036	18052	2010	1/9/2010 12:15 AM	26041	KINDER MORGAN LIQUID TERMINALS, LLC	NaN	ONSHORE	TANK	REFINED AND/OR PETROLEUM PRODUCT (NON-HVL), LIQUID	GASOLINE (NON-ETHANOL)	NaN	GALENA PARK	HARRIS	TX	29.43050	-95.12010	MATERIAL/WELD/EQUIP FAILURE	ENVIRONMENTAL CRACKING-RELATED	35.00	0.0	30.00	5.00	NO	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	400.0	0.0	0.0	70000.0	0.0	70400
7	20100255	18584	2010	1/9/2010 1:12 AM	12624	MOBIL CORP	HULL STATION	ONSHORE	ABOVEGROUND	HVL OR OTHER FLAMMABLE OR TOXIC FLUID, GAS	LPG (LIQUEFIED PETROLEUM GAS) / NGL (NATURAL GAS LIQUID)	NaN	HULL	LIBERTY	TX	30.08533	-94.38050	NATURAL FORCE DAMAGE	TEMPERATURE	0.24	0.0	0.00	0.24	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	400.0	13.0	0.0	0.0	0.0	0.0	413
8	20100261	18050	2010	1/10/2010 7:46 PM	26041	KINDER MORGAN LIQUID TERMINALS, LLC	NaN	ONSHORE	ABOVEGROUND	REFINED AND/OR PETROLEUM PRODUCT (NON-HVL), LIQUID	DIESEL, FUEL OIL, KEROSENE, JET FUEL	NaN	NaN	NaN	TX	29.43050	-95.12010	MATERIAL/WELD/EQUIP FAILURE	OTHER EQUIPMENT FAILURE	0.40	0.0	0.40	0.00	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	336.0	0.0	0.0	40000.0	0.0	40336
9	20100024	18390	2010	1/11/2010 2:30 PM	31684	CONOCOPHILLIPS	TANK 1501	ONSHORE	TANK	REFINED AND/OR PETROLEUM PRODUCT (NON-HVL), LIQUID	GASOLINE (NON-ETHANOL)	NaN	PASADENA	HARRIS	TX	29.71478	-95.17611	ALL OTHER CAUSES	MISCELLANEOUS	0.48	0.0	0.48	0.00	NO	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	50.0	0.0	10000.0	10000.0	10000.0	30050

	Report Number	Supplemental Number	Accident Year	Accident Date/Time	Operator ID	Operator Name	Pipeline/Facility Name	Pipeline Location	Pipeline Type	Liquid Type	Liquid Subtype	Liquid Name	Accident City	Accident County	Accident State	Accident Latitude	Accident Longitude	Cause Category	Cause Subcategory	Unintentional Release (Barrels)	Intentional Release (Barrels)	Liquid Recovery (Barrels)	Net Loss (Barrels)	Liquid Ignition	Liquid Explosion	Pipeline Shutdown	Shutdown Date/Time	Restart Date/Time	Operator Employee Injuries	Operator Contractor Injuries	Emergency Responder Injuries	Other Injuries	Public Injuries	All Injuries	Operator Employee Fatalities	Operator Contractor Fatalities	Emergency Responder Fatalities	Other Fatalities	Public Fatalities	All Fatalities	Property Damage Costs	Lost Commodity Costs	Public/Private Property Damage Costs	Emergency Response Costs	Environmental Remediation Costs	Other Costs	All Costs
2785	20170020	22026	2016	12/21/2016 11:40 AM	32147	MARATHON PIPE LINE LLC	ELWOOD STATION	ONSHORE	ABOVEGROUND	CRUDE OIL	NaN	NaN	ELWOOD	TIPTON COUNTY	IN	40.291648	-85.862792	MATERIAL/WELD/EQUIP FAILURE	PUMP OR PUMP-RELATED EQUIPMENT	1.70	NaN	1.70	0.0	NO	NO	YES	12/21/2016 11:40	12/22/2016 6:10	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	48264.0	103.0	0.0	17674.0	0.0	0.0	66041
2786	20170022	22029	2016	12/22/2016 9:25 PM	32080	CCPS TRANSPORTATION, LLC	LINE 59 KEY STATION	ONSHORE	ABOVEGROUND	CRUDE OIL	NaN	NaN	SALISBURY	CHARITON	MO	39.414038	-92.840164	MATERIAL/WELD/EQUIP FAILURE	PUMP OR PUMP-RELATED EQUIPMENT	12.50	NaN	12.50	0.0	NO	NO	YES	12/22/2016 21:53	12/23/2016 2:26	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	15020.0	27.0	0.0	32000.0	0.0	0.0	47047
2787	20170021	22027	2016	12/23/2016 3:00 PM	30829	ENTERPRISE CRUDE PIPELINE LLC	ECHO MANIFOLD	ONSHORE	ABOVEGROUND	CRUDE OIL	NaN	NaN	HOUSTON	HARRIS	TX	29.614125	-95.184793	ALL OTHER CAUSES	UNKNOWN	3.00	NaN	3.00	0.0	NO	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	65000.0	75.0	0.0	0.0	0.0	0.0	65075
2788	20170023	22030	2016	12/24/2016 9:35 AM	31684	PHILLIPS 66 PIPELINE LLC	NT-90, PREDO TO CARSON	ONSHORE	ABOVEGROUND	CRUDE OIL	NaN	NaN	NaN	ARCHER	TX	33.655692	-98.624766	MATERIAL/WELD/EQUIP FAILURE	NON-THREADED CONNECTION FAILURE	202.00	NaN	202.00	0.0	NO	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	4100.0	10600.0	50000.0	105000.0	87810.0	1000.0	258510
2789	20170026	22044	2016	12/26/2016 7:20 AM	32011	HOLLY ENERGY PARTNERS - OPERATING, L.P.	RUSSELL STATION	ONSHORE	ABOVEGROUND	CRUDE OIL	NaN	NaN	NaN	GAINES	TX	32.861800	-102.919210	CORROSION	INTERNAL	3.00	NaN	2.00	1.0	NO	NO	YES	12/26/2016 7:20	12/26/2016 10:00	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	1000.0	120.0	0.0	2000.0	10000.0	0.0	13120
2790	20170015	22020	2016	12/27/2016 8:40 AM	32334	TC OIL PIPELINE OPERATIONS INC	KEYSTONE	ONSHORE	ABOVEGROUND	CRUDE OIL	NaN	NaN	TINA	CARROLL	MO	39.517036	-93.486055	MATERIAL/WELD/EQUIP FAILURE	THREADED CONNECTION/COUPLING FAILURE	0.25	NaN	0.25	0.0	NO	NO	YES	12/27/2016 8:54	12/27/2016 16:11	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	15.0	0.0	0.0	61000.0	0.0	61015
2791	20170028	22046	2016	12/28/2016 4:20 PM	4906	EXXONMOBIL PIPELINE CO	BRRF - CHOCTAW ETHANE/PROPANE MIX SYSTEM	ONSHORE	UNDERGROUND	HVL OR OTHER FLAMMABLE OR TOXIC FLUID, GAS	OTHER HVL	98.7% ETHANE, .97% METHANE, .36% PROPANE	NaN	WEST BATON ROUGE	LA	30.332597	-91.274491	ALL OTHER CAUSES	UNKNOWN	580.00	0.0	0.00	580.0	NO	NO	YES	12/28/2016 16:20	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	0.0	5400.0	0.0	0.0	0.0	100000.0	105400
2792	20170027	22045	2016	12/29/2016 6:40 AM	39145	ENBRIDGE STORAGE (CUSHING) L.L.C.	CUSHING CENTRAL TERMINAL	ONSHORE	TANK	CRUDE OIL	NaN	NaN	CUSHING	PAYNE	OK	35.565292	-96.454956	MATERIAL/WELD/EQUIP FAILURE	OTHER EQUIPMENT FAILURE	1.00	NaN	1.00	0.0	NO	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	7000.0	50.0	0.0	5000.0	3000.0	0.0	15050
2793	20170024	22032	2017	1/3/2017 10:00 AM	32147	MARATHON PIPE LINE LLC	MIDLAND STATION	ONSHORE	UNDERGROUND	REFINED AND/OR PETROLEUM PRODUCT (NON-HVL), LIQUID	MIXTURE OF REFINED PRODUCTS (TRANSMIX OR OTHER MIXTURE)	NaN	INDUSTRY	BEAVER COUNTY	PA	40.631074	-80.440463	ALL OTHER CAUSES	UNKNOWN	0.20	NaN	0.20	0.0	NO	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	11852.0	11.0	0.0	29565.0	0.0	0.0	41428
2794	20170025	22040	2017	1/9/2017 7:40 AM	30829	ENTERPRISE CRUDE PIPELINE LLC	MARSHALL STATION	ONSHORE	ABOVEGROUND	CRUDE OIL	NaN	NaN	GONZALES	GONZALES	TX	29.305410	-97.400301	INCORRECT OPERATION	INCORRECT INSTALLATION	4.00	NaN	4.00	0.0	NO	NO	NO	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	NaN	45600.0	200.0	0.0	0.0	0.0	0.0	45800

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script